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Plasma proteome dynamics of COVID-19 severity learnt by a graph convolutional network of multi-scale topology
Samy Gauthier, Alexy Tran-Dinh, View ORCID ProfileIan Morilla Correspondence email
Samy Gauthier
1Université Sorbonne Paris Nord, LAGA, CNRS, UMR 7539, Laboratoire d’excellence Inflamex, Villetaneuse, France
Roles: Data curation, Formal analysis
Alexy Tran-Dinh
2Département d’anesthésie-Réanimation, INSERM, Université de Paris, AP-HP, Hôpital Bichat Claude Bernard, Paris, France
3Université de Paris, LVTS, Inserm U1148, Paris, France
Roles: Methodology, Writing—original draft, Writing—review and editing
Ian Morilla
1Université Sorbonne Paris Nord, LAGA, CNRS, UMR 7539, Laboratoire d’excellence Inflamex, Villetaneuse, France
4Department of Genetics, University of Malaga, MLiMO, Málaga, Spain
Roles: Conceptualization, Data curation, Formal analysis, Supervision, Funding acquisition, Investigation, Visualization, Methodology, Writing—original draft, Project administration, Writing—review and editing
Published 20 February 2023. DOI: 10.26508/lsa.202201624

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Proteome dynamics of COVID-19 severity
Samy Gauthier, Alexy Tran-Dinh, Ian Morilla
Life Science Alliance Feb 2023, 6 (5) e202201624; DOI: 10.26508/lsa.202201624
In this Issue
Volume 6, No. 5
May 2023
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